Source candidates globally for technical and non-technical roles, build proactive pipelines, conduct virtual screenings, evaluate and present candidate packages, partner with recruiters and hiring managers, and provide market intelligence to improve sourcing strategies and processes.

Apply expert investment research and capital markets knowledge to evaluate AI-generated financial analyses, validate models and valuations, identify errors, create and refine prompts and benchmark datasets, and provide actionable feedback to improve LLM performance while meeting quality and turnaround expectations.

Build and maintain Python backend services and internal tools for AI/LLM applications. Integrate LLM APIs, design scalable REST APIs and async workflows, handle prompt management and model routing, monitor performance, debug distributed systems, automate data workflows, and collaborate to productionize AI features with emphasis on scalability, reliability, and safety.